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Installing Python 3.8.12   - Ubuntu  20.04.4

(source pages : https://tecadmin.net/install-python-3-8-ubuntu/    ,  https://docs.python.org/3/tutorial/venv.html  )

Introduction

BellaDati IoT  Advance Analytic framework makes possible utilize Machine Learning concepts. There is a possibility to include scripts programmed in Python.

Python is a popular programming language. Besides web and software development, Python is used for data analytics, machine learning, and even design.

BellaDati  except of ML offers also tool IDE (stands for Integrated Development Environment ) usable for editing , checking  python  language scripts. 
The description below  illustrates how install Python , pip, pylint and modules required for script running.This procedure have been used for specific BellaDati project with python scripts in use.

Prerequisite

•      sudo apt-get install build-essential checkinstall
•      sudo apt-get install libreadline-gplv2-dev libncursesw5-dev libssl-dev \

    libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev libffi-dev zlib1g-dev

Installing Python 3.8.12 from source code

• check version installed  as default 

  python3 —version

response:  Python 3.8.10

• use directory e.g. /opt for new installation and get source code

     cd /opt

     sudo wget https://www.python.org/ftp/python/3.8.12/Python-3.8.12.tgz

• extract source archive file

     sudo tar xzf Python-3.8.12.tgz

• compilation ( the process takes several minutes)

     cd Python-3.8.12

    ./configure --enable-optimizations

     make install

• server rebooting

     reboot   

• checking installed version

     python3.8 —version

response:  Python 3.8.12

     rm /otpopt/Python-3.8.12.tgz     ( removing to save storage space)

Upgrading pip

  ( pip - A tool for installing and managing Python packages)

/usr/local/bin/python3.8 -m pip install --upgrade pip

• check version installed 

/usr/local/bin/python3.8 -m pip --version

response:
pip 22.3 from /usr/local/lib/python3.8/site-packages/pip (python 3.8)

Installing pylint and pyflakes

(pylint - code analysis for Python, pyflakes is a simple program which checks Python source files for errors.))

• find where python3.8 located

  which python3.8 

response: /usr/local/bin/python3.8

   cd /usr/local/bin

• see directory contents

    ls -all

response: python3.8, isort... pip3.8  and many files

•     installing pylint

  python3.8 -m pip install pylint

• checking location

   which pylint

response : /usr/local/bin/pylint

•  checking pylint version  

   pylint —version 

response :

   pylint 2.15.5

   astroid 2.12.12

   Python 3.8.12

•    installing pyflakes

( the prcedure is the same as for pylint)

python3.8 -m pip install pyflakes 

which pyflakes

pyflakes version

response :  2.5.0 Python 3.8.12 on Linux

Installing some module(s)

(required by used specific python script(s))

In this example -  specific BellaDati project using Python script The script asked for several modules. The IDE have been used to see errors/warning .  The modules  needed can be added this way.  

• checking modules already available

python3.8 -m pip list

response: 

Package           Version
----------------- -------
astroid           2.12.12
dill              0.3.6
isort             5.10.1
lazy-object-proxy 1.8.0
mccabe            0.7.0
pip               21.1.1
platformdirs      2.5.2
pylint            2.15.5
setuptools        56.0.0
tomli             2.0.1
tomlkit           0.11.5
typing-extensions 4.4.0
wrapt             1.14.1

• example:  installing module "pandas"

/usr/local/bin/python3.8 -m pip install pandas

response :

Collecting pandas
  Downloading pandas-1.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
Collecting python-dateutil>=2.8.1
  Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting numpy>=1.20.3
  Downloading numpy-1.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)
 Collecting pytz>=2020.1
  Downloading pytz-2022.6-py2.py3-none-any.whl (498 kB)
Collecting six>=1.5
  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pytz, python-dateutil, numpy, pandas
Successfully installed numpy-1.23.4 pandas-1.5.1 python-dateutil-2.8.2 pytz-2022.6 six-1.16.0

• the same step with e.g. module sklearn , wheel etc.

• Checking modules available now:

/usr/local/bin/python3.8 -m pip list

response:  
Package           Version
----------------- -------
astroid           2.12.12
dill              0.3.6
isort             5.10.1
joblib            1.2.0
lazy-object-proxy 1.8.0
mccabe            0.7.0
numpy             1.23.4
pandas            1.5.1
pip               22.3
platformdirs      2.5.2
pylint            2.15.5
python-dateutil   2.8.2
pytz              2022.6
scikit-learn      1.1.3
scipy             1.9.3
setuptools        56.0.0
six               1.16.0
sklearn           0.0
threadpoolctl     3.1.0
tomli             2.0.1
tomlkit           0.11.5
typing_extensions 4.4.0
wheel             0.37.1
wrapt             1.14.1

• Packages location:  

cd  /usr/local/lib/python3.8/site-packages